SISTEM PEMILAH BUAH STROBERI BERDASARKAN WARNA BERBASIS INTERNET of THINGS (IoT)

FITRATULLAH KHOLIDUNA, . (2026) SISTEM PEMILAH BUAH STROBERI BERDASARKAN WARNA BERBASIS INTERNET of THINGS (IoT). Sarjana thesis, UNIVERSITAS NEGERI JAKARTA.

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Abstract

Penelitian bertujuan untuk mengembangkan sistem pemilahan buah Stroberi dengan berdasarkan warna yang berbasis Internet of Things (IoT) dengan Raspberry Pi 3 sebagai kendali utama. Penelitian menggunakan metode pengembangan produk research and development (R&D) dengan model pengembangan Borg & Gall dengan 4 tahapan penelitian, yaitu tahapan research and information collecting (pengumpulan informasi dan penelitian), tahap planning (perencanaan), tahap develop preliminary form of product (pengembangan draf produk), dan tahap preliminary field testing (uji coba lapangan). Hasil penelitian yang dilakukan berhasil membaca warna buah Stroberi dengan modul sensor warna TCS3200 serta membagi tiga klasifikasi buah Stroberi. Mentah dengan nilai #9E0803-#5C0C09. Matang dengan nilai #F7112c-#F20521, dan menuju busuk dengan nilai #960314 #59010B. Sementara, modul sensor warna TCS34725 dapat membaca warna dengan mentah nilai #E7FA7A-#FF6A5F. Matang dengan nilai #F23911 #F50D05, dan menuju busuk dengan nilai #9E0803-#5C0C09. Hasil pembacaan warna buah Stroberi diproses pemilahan dengan dibantu oleh Motor Servo dan perhitungan oleh sensor Infrared dengan mendeteksi buah Stroberi. Hasil pengujian pada 15 buah Stroberi (5 buah berwana hijau, 5 buah berwana merah dan 5 buah berwarna merah pekat) ditampilkan pada LCD I2C dan Node-Red sebagai interface serta data disimpan dalam bentuk database oleh MySQL. ***** The research was conducted with the aim of developing a strawberry sorting system an Internet of Things (IoT) based on color characteristics, using a Raspberry Pi 3 as the main control unit. The research employed a product development method using the Research and Development (R&D) approach with the Borg & Gall development model, consisting of four stages: research and information collecting, planning, developing the preliminary form of the product, and preliminary field testing. The results of the study demonstrate that the system was able to detect the color of strawberries using the TCS3200 color sensor module and classify them into three categories: unripe with color values ranging from #9E0803 to #5C0C09, ripe with values from #F7112C to #F20521, and overripe with values from #960314 to #59010B. Meanwhile, the TCS34725 color sensor module was able to detect strawberry colors in the unripe category with values ranging from #E7FA7A to #FF6A5F, the ripe category with values from #F23911 to #F50D05, and the overripe category with values from #9E0803 to #5C0C09. The color data obtained from the strawberry detection process were used for sorting, assisted by a servo motor, while an Infrared sensor was utilized to detect the presence of strawberries for counting purposes. The test results involving 15 strawberries (5 green-colored, 5 red-colored, and 5 dark red-colored strawberries) were displayed on an I2C LCD and Node-RED as the user interface, while the data were stored in a MySQL database.

Item Type:	Thesis (Sarjana)
Additional Information:	1). Dr. Wisnu Djatmiko, M.T. ; 2). Drs. Pitoyo Yuliatmojo, M.T.
Subjects:	Teknologi dan Ilmu Terapan > Teknik Elektronika
Divisions:	FT > S1 Pendidikan Teknik Elektronika
Depositing User:	Users 32631 not found.
Date Deposited:	03 Feb 2026 08:38
Last Modified:	03 Feb 2026 08:38
URI:	http://repository.unj.ac.id/id/eprint/64781

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